Michael Landis


My name is Michael Landis. I study evolution by developing probabilistic models, writing open source and community-minded software, and analysing simulated and empirical data. My current research interests include phylogenetics, historical biogeography, continuous trait evolution, and Bayesian inference.

In December 2015, I received my PhD in Integrative Biology (with a designated emphasis in Computational and Genomic Biology) under the advisory of John Huelsenbeck at UC Berkeley. There, I studied statistical phylogenetics while developing my interests in historical biogeography and phenotypic evolution. After graduating, I worked briefly with Tracy Heath at Iowa State University on problems regarding divergence time estimation and inferring very large phylogenies. Currently, I am supported by the NSF Postdoctoral Research Fellowship in Biology to research the co-evolution of ecological adaptations and geographical range dynamics, and advised by Michael Donoghue at Yale University.

To relax, I hike, read, and cook.

Here’s my CV.

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